The KCAU Library

Forensic analytics : (Record no. 18684)

MARC details
000 -LEADER
fixed length control field 02663cam a2200325 i 4500
001 - CONTROL NUMBER
control field 21459643
003 - CONTROL NUMBER IDENTIFIER
control field KE-NaKCAU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240607123819.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200306s2020 njua b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2019056749
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119585763
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Description conventions rda
Transcribing agency KE-NaKCAU
Modifying agency DLC
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HV6768
Item number .N54 2020
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Nigrini, Mark J.
Fuller form of name (Mark John)
245 10 - TITLE STATEMENT
Title Forensic analytics :
Remainder of title methods and techniques for forensic accounting investigations /
Statement of responsibility, etc Mark J. Nigrini.
250 ## - EDITION STATEMENT
Edition statement Second edition.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Hoboken :
Name of publisher, distributor, etc Wiley,
Date of publication, distribution, etc 2020.
300 ## - PHYSICAL DESCRIPTION
Extent xxv, 518 pages :
Other physical details illustrations ;
Dimensions 26 cm.
490 0# - SERIES STATEMENT
Series statement Wiley corporate f&a
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc "The book will review and discuss (with Access and Excel examples) the methods and techniques that investigators can use to uncover anomalies in corporate and public sector data. These anomalies would include errors, biases, duplicates, number rounding, and omissions. The focus will be the detection of fraud, intentional errors, and unintentional errors using data analytics. Despite the quantitative and computing bias, the book will still be interesting to read with interesting vignettes and illustrations. Most chapters will be understandable by accountants and auditors that usually are lacking in the rigors of mathematics and statistics. The data interrogation methods are based on (a) known statistical techniques, and (b) the author's own published research in the field. New to this edition are: Updates to Windows and Microsoft Office R, which is now a viable data analytics product. New fraud cases There are many published books on data mining, which is defined as the analysis of (large) data sets to find unsuspected relationships, and to summarize the data in novel ways that are both understandable and useful to the data owner. The results of such analyses could be sales predictions or discovering previously unknown patterns and rules. Data mining involves using the data for some specific purpose (often tied to marketing) but typically has no fraud detection motive. Yet, data mining can be a valuable tool to detect errors and anomalies that can lead to the discovery of fraud"--
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Forensic accounting.
9 (RLIN) 5820
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Fraud.
9 (RLIN) 5818
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Misleading financial statements.
9 (RLIN) 12186
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://ebookcentral.proquest.com/lib/kcau-ebooks/detail.action?docID=6174018">https://ebookcentral.proquest.com/lib/kcau-ebooks/detail.action?docID=6174018</a>
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a 7
b cbc
c orignew
d 1
e ecip
f 20
g y-gencatlg
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Serial Enumeration / chronology Inventory number Total Checkouts Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type
    Library of Congress Classification     Non-fiction Martin Oduor-Otieno Library Martin Oduor-Otieno Library This item is located on the library first floor 07/05/2024 Regent Book Supplies 13500.00 31719/24 31719/24   HV6768 .N54 2020 MOOL24050003 07/05/2024 13500.00 07/05/2024 Main Long
KCAU Library,
KCA University ,
Thika Road Ruaraka
P. O. Box 56808 – 00200 Nairobi, Kenya

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